DocumentCode :
1460008
Title :
Reactive Power Planning Based on Fuzzy Clustering, Gray Code, and Simulated Annealing
Author :
Wang, Yurong ; Li, Fangxing ; Wan, Qiulan ; Chen, Hao
Author_Institution :
Southeast Univ., Nanjing, China
Volume :
26
Issue :
4
fYear :
2011
Firstpage :
2246
Lastpage :
2255
Abstract :
Voltage stability constrained reactive power planning (RPP) or VAr planning is a very challenging issue in power systems. This paper proposes a new approach for modeling and solving VAr planning problem taking into account the static voltage stability constraint. First, the fuzzy clustering method is employed to select new candidate VAr source locations. Then, modified Gray code is proposed and used to represent a series of non-uniform VAr capacity intervals at different candidate buses. Under the new ordering of the VAr capacity intervals, a simplified piecewise linear function between the total transfer capability (TTC) and new VAr capacity is derived and applied as static voltage stability constraint in RPP. Finally, the RPP optimization model is solved by an enhanced simulated annealing (SA) algorithm taking advantage of the modified Gray code. In the SA algorithm, a modified definition of the neighborhood selection and a novel approach to generate new random solutions are proposed. In the case study, fuzzy clustering method, the modified Gray code, and the improved SA are applied to the IEEE 30-bus system. Test results conclude that the proposed method is a simplified and effective approach for voltage stability constrained VAr planning with contingency considered.
Keywords :
Gray codes; IEEE standards; fuzzy set theory; pattern clustering; power system control; power system planning; reactive power control; simulated annealing; stability; voltage control; Gray code; IEEE 30-bus system; RPP optimization model; SA algorithm; TTC; fuzzy clustering method; neighborhood selection; nonuniform VAr capacity intervals; power systems; simulated annealing algorithm; total transfer capability; voltage stability constrained VAr planning; voltage stability constrained reactive power planning; Power system planning; Power system stability; Reactive power; Reflective binary codes; Stability criteria; Fuzzy clustering; Gray code; piecewise linear interpolation; reactive power planning (RPP); simulated annealing (SA); total transfer capability (TTC); voltage stability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2011.2109067
Filename :
5720538
Link To Document :
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